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        Mulong Luo

          Postdoctoral Research Scientist
          The University of Texas at Austin
          mulong AT utexas DOT edu

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I am a postdoctoral fellow / research scientist at the University of Texas at Austin. I work on computer architecture and system security. I recently graduated from the School of Electrical and Computer Engineering at Cornell University.

Research internship available! If you are an undergrad looking for research experience and interested in research in the intersection of computer security and applied machine learning, please drop me an email at mulong@utexas.edu

Education

  • Doctor of Philosophy, Computer Engineering, Cornell University, 2017-2023.

  • Master of Science, Computer Science, University of California San Diego, 2017.

  • Bachelor of Science, Microelectronics, Peking University, 2014.

Research Interests

  • Machine learning (esp reinforcement learning) for security and hardware

  • Security of computer architecture and cyber-physical systems

  • Trusted execution environments, side channels

Selected Publications

  • J. Cui, X. Yang*, M. Luo*, G. Lee*, et. al.,, “MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection”, accepted to International Conference on Learning Representation (ICLR), 2023. [pdf-preprint] (* Equal contributions.)

  • M. Luo*, W. Xiong*, et. al., “AutoCAT: Reinforcement Learning for Automated Exploration of Cache Timing-Channel Attacks”, accepted to IEEE International Symposium on High Performance Computer Architecture (HPCA), 2023. [pdf-preprint][code](* Equal contributions.)

  • M. Luo, G. E. Suh, “Accelerating Path Planning for Autonomous Driving with Hardware-assisted Memorization”, in International conference on Application-specific Systems, Architectures and Processors (ASAP), 2022. [pdf]

  • M. Luo, G. E. Suh, “Interrupt Attack on TEE for Robotic Vehicles”, in Automobile and Autonomous Vehicle Security Workshop (AutoSec), 2022, collocated with Networked and Distributed System Symposium (NDSS). [pdf][talk]

  • M. Luo, A. C. Myers, G. E. Suh, “Stealthy Tracking of Autonomous Vehicles with Cache Side Channels”, in 29th USENIX Security Symposium, 2020, pp.859-876 [pdf] [slides][talk] (Shortlisted for Top Picks in Hardware and Embedded Security 2022.)

  • J. Liu, J. C. Davies, A. Ferraiuolo, A. Ivanov, M. Luo, et al., “Secure Autonomous Cyber-Physical Systems Through Verifiable Information Flow Control”, in Workshop on Cyber-Physical Systems Security and PrivaCy (CPS-SPC), collocated with ACM Conference on Computer and Communications Security (CCS), 2018, pages 48-59 (Best Paper Award). [pdf]

  • X. Jiao, M. Luo, J. H. Lin, R. K. Gupta, “An Assessment of Vulnerability of Hardware Neural Networks to Dynamic Voltage and Temperatrue Variations”, in Internaional Conference on Computer-Aided Design (ICCAD), 940-950.

Services

  • Organization:
    • LDMA: Learning-based Detection of Microarchitectural Attacks Tutorial, co-located with Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024.
    • Chair, Reinforcement Learning for Computer Architecture and Systems (RL4CAS) Tutorial, co-located with International Symposium on Computer Architecture (ISCA), 2023.
    • Publication Chair, ISOC Symposium on Vehicle Security and Privacy (VehicleSec), co-located with Symposium on Networked and Distributed System Security (NDSS), 2024.
  • Technical Program Committee:
    • USENIX Security Symposium, 2024.
    • International Symposium on Computer Architecture (ISCA), 2024.(ERC)
    • International Symposium on High-Performance Computer Architecture (HPCA), 2024.(lightPC)
    • ACM Conference on Computer and Communications Security (CCS), 2023.
    • International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2023, noteworthy reviewers.
    • ISOC Symposium on Vehicle Security and Privacy (VehicleSec), co-located with Symposium on Networked and Distributed System Security (NDSS), 2023, 2024.
    • Workshop on Hardware and Architectural Support for Security and Privacy (HASP), co-located with International Symposium on Microarchitecture (MICRO), 2023.
    • Workshop on Attacks and Solutions in Hardware Security (ASHES), co-located with ACM CCS, 2023.
  • Reviewer/External Reviewer:
    • IEEE Transactions on Computer (TC), 2023.
    • Conference on Cryptographic Hardwareand Embedded Systems (CHES), 2023.
    • ACM/IEEE International Symposium on Computer Architecture (ISCA), 2020.
    • ACM/IEEE Design Automation Conference (DAC), 2016, 2017.
    • IEEE Transcations on Computer-Aided Design of Integrated Circuits and Systems (T-CAD), 2022, 2017.
    • Integration, the VLSI Journal, 2016.
  • Artifact Evaluation Committee:
    • USENIX Security Symposium, Artifact Evaluation Committee, 2023.
    • USENIX Symposium on Operating Systems Design and Implementation (OSDI), Artifact Evalutaion Committee, 2022.
    • USENIX Annual Technical Conference (ATC), Artifact Evaluation Committee, 2022.

Teaching

I have been serving as a teaching assistant for multiple undergradudate and graduate-level courses at Cornell and UCSD.

  • Head TA, ECE2300, Digital Logic and Computer Organization, 2020 Fall at Cornell by Prof. David Albonesi

  • TA, ECE5770, Resilient Computer Systems, 2019, 2018 Fall at Cornell by Prof. Edward Suh

  • Head TA, CSL140, Components and Design Techniques for Digital Systems, 2017 Spring at UCSD by Prof. C.K. Cheng

  • Head TA, CSL140L, Digital Circuits Laboratory, 2017 Winter at UCSD by Prof. Rajesh Gupta and visiting Prof. Avind from MIT

Mentoring

  • Yifang Yang, Yan Zhang, Master of Engineering Design Project “An Architecture for Secure GPIO Access in Robot System on TrustZone Enabled ARM Processors”, 2019.

Industry

  • System on Chip (SoC) platform architecture intern, Qualcomm Inc., 2021.

  • Software Reseach and Development Intern, Synopsys Inc., 2016.